siglevel

Significance level for peak identification. (0-1)

ar1

CLpwr

Plot AR(1) noise confidence levels on power spectrum? (T or F)

output

What should be returned as a data frame? (0=nothing; 1= power spectrum + harmonic CL + AR1 CL + AR1 fit + 90%-99% AR1 power levels (ar1 must be set to TRUE to output AR model results); 2=significant peak frequencies; 3=significant peak frequencies + harmonic CL; 4=internal variables from spec.mtm). Option 4 is intended for expert users, and should generally be avoided.

xmin

Smallest frequency for plotting.

xmax

Largest frequency for plotting.

pl

Plot logarithm of spectral power (1) or linear spectral power (2)?

sigID

Identify significant frequencies on power and probabilty plots? (T or F)

genplot

Generate summary plots? (T or F)

verbose

Verbose output? (T or F)

Details

If ar1=T, candidiate astronomical cycles are identified via isolation of those frequencies
that achieve the required (e.g., 90 percent) "red noise" confidence level and MTM harmonic F-test
confidence level. Allowance is made for the smoothing inherent in the MTM power spectral estimate
as compared to the MTM harmonic spectrum. That is, an F-test peak is reported if it achieves the
required MTM harmonic confidence level, while also achieving the required red noise confidence level
within +/- half the power spectrum bandwidth resolution. One additional criterion is included to
further reduce the false positive rate, a requirement that significant F-tests must occur on a local
power spectrum high, which is parameterized as occurring above the local red noise background estimate.
See Meyers (2012) for futher information.